README.md

metadata

title: Anycoder
emoji: 🏢
colorFrom: indigo
colorTo: indigo
sdk: gradio
sdk_version: 5.23.3
app_file: app.py
pinned: false
disable_embedding: true

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Anycoder - AI Code Generation with Hugging Face Inference

An ultra-clean AI-powered code generation application using Hugging Face inference providers. Minimal files for maximum simplicity.

Features

• Hugging Face Models: Uses DeepSeek-V3-0324 via Novita provider
• Modern UI: Built with Gradio and ModelScope Studio components
• Code Generation: Generates working code based on user requirements
• Live Preview: Renders generated HTML code in real-time
• History Management: Keeps track of conversation history
• Streaming: Real-time code generation with streaming responses

Project Structure

anycoder/
├── app.py          # Main application (everything included)
├── app.css         # Basic styling
├── pyproject.toml  # Dependencies
└── README.md       # This file

Setup

1. Set your Hugging Face API token:

   export HF_TOKEN="your_huggingface_token_here"
   

2. Install dependencies:

   uv sync
   

3. Run the application:

   uv run python app.py
   

Usage

1. Enter your application requirements in the text area
2. Click "send" to generate code
3. View the generated code in the code drawer
4. See the live preview in the sandbox area
5. Use example cards for quick prompts

Code Example

import os
from huggingface_hub import InferenceClient

client = InferenceClient(
    provider="novita",
    api_key=os.environ["HF_TOKEN"],
    bill_to="huggingface"
)

completion = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V3-0324",
    messages=[
        {
            "role": "user",
            "content": "Create a simple todo app"
        }
    ],
)

Architecture

The application uses:

• Gradio: For the web interface
• Hugging Face Hub: For model inference
• ModelScope Studio: For UI components
• Streaming: For real-time code generation